Triple

T14349259
Position Surface form Disambiguated ID Type / Status
Subject Gennaro, Prince of Capua E355807 entity
Predicate givenName P17 FINISHED
Object Gennaro E984795 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Gennaro | Statement: [Gennaro, Prince of Capua, givenName, Gennaro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gennaro
Context triple: [Gennaro, Prince of Capua, givenName, Gennaro]
  • A. Gennaro
    Gennaro is the surname of Angie Gennaro, a fictional character from Dennis Lehane’s crime novels.
  • B. Gennaro chosen
    Gennaro is an Italian masculine given name, traditionally common in southern Italy and associated with Saint Januarius, the patron saint of Naples.
  • C. Guglielmino
    Guglielmino is an Italian given name, typically considered a diminutive or variant of Guglielmo (the Italian form of William).
  • D. Gaetano
    Gaetano is an Italian given name, historically notable as the birth name of Saint Cajetan, a prominent 16th-century Catholic priest and reformer.
  • E. Saverio
    Saverio is an Italian male given name, commonly used as a first name in Italy and among Italian-speaking communities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d82790a7e08190877e2d349b2e8d8e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8e8d081c8190ac805726a3e98f4c completed April 14, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd46a24cf881909e18379084458d4b completed May 8, 2026, 2:12 a.m.
Created at: April 10, 2026, 1:14 a.m.